MATLAB TIPS
前往频道在 Telegram
Matlab的一些现成脚本、函数，前人写的技巧、教程、文档。 Just tricks that finally work or what have learnt through search engines.受限于个人领域和Matlab水平，诚邀频道管理者；只要在使用Matlab过程中顺手把用上的网页、帖子发上来就好，十分简单。请联系 @MatLabTipsBot。#MATLAB
显示更多2 651
订阅者
-124 小时
-97 天
-4530 天
数据加载中...
相似频道
标签云
进出提及
---
---
---
---
---
---
吸引订阅者
九月 '26
九月 '26
+7
在0个频道中
八月 '26
+30
在0个频道中
Get PRO
七月 '26
+37
在1个频道中
Get PRO
六月 '26
+59
在0个频道中
Get PRO
五月 '26
+26
在0个频道中
Get PRO
四月 '26
+46
在0个频道中
Get PRO
三月 '26
+43
在0个频道中
Get PRO
二月 '26
+39
在0个频道中
Get PRO
一月 '26
+34
在0个频道中
Get PRO
十二月 '25
+77
在0个频道中
Get PRO
十一月 '25
+49
在1个频道中
Get PRO
十月 '25
+45
在0个频道中
Get PRO
九月 '25
+34
在0个频道中
Get PRO
八月 '25
+37
在0个频道中
Get PRO
七月 '25
+40
在0个频道中
Get PRO
六月 '25
+43
在0个频道中
Get PRO
五月 '25
+33
在0个频道中
Get PRO
四月 '25
+36
在0个频道中
Get PRO
三月 '25
+50
在1个频道中
Get PRO
二月 '25
+43
在0个频道中
Get PRO
一月 '25
+47
在1个频道中
Get PRO
十二月 '24
+62
在1个频道中
Get PRO
十一月 '24
+106
在0个频道中
Get PRO
十月 '24
+130
在0个频道中
Get PRO
九月 '24
+131
在1个频道中
Get PRO
八月 '24
+168
在0个频道中
Get PRO
七月 '24
+85
在0个频道中
Get PRO
六月 '24
+72
在0个频道中
Get PRO
五月 '24
+108
在0个频道中
Get PRO
四月 '24
+123
在0个频道中
Get PRO
三月 '24
+115
在0个频道中
Get PRO
二月 '24
+121
在0个频道中
Get PRO
一月 '24
+90
在0个频道中
Get PRO
十二月 '23
+95
在0个频道中
Get PRO
十一月 '23
+61
在0个频道中
Get PRO
十月 '23
+77
在0个频道中
Get PRO
九月 '23
+80
在0个频道中
Get PRO
八月 '23
+35
在0个频道中
Get PRO
七月 '23
+57
在0个频道中
Get PRO
六月 '23
+40
在0个频道中
Get PRO
五月 '23
+40
在0个频道中
Get PRO
四月 '23
+54
在0个频道中
Get PRO
三月 '23
+35
在0个频道中
Get PRO
二月 '23
+42
在0个频道中
Get PRO
一月 '23
+38
在0个频道中
Get PRO
十二月 '22
+53
在0个频道中
Get PRO
十一月 '22
+51
在0个频道中
Get PRO
十月 '22
+45
在0个频道中
Get PRO
九月 '22
+71
在0个频道中
Get PRO
八月 '22
+49
在0个频道中
Get PRO
七月 '22
+37
在0个频道中
Get PRO
六月 '22
+49
在0个频道中
Get PRO
五月 '22
+69
在0个频道中
Get PRO
四月 '22
+61
在0个频道中
Get PRO
三月 '22
+62
在0个频道中
Get PRO
二月 '22
+51
在0个频道中
Get PRO
一月 '22
+30
在0个频道中
Get PRO
十二月 '21
+27
在0个频道中
Get PRO
十一月 '21
+36
在0个频道中
Get PRO
十月 '21
+36
在0个频道中
Get PRO
九月 '21
+27
在0个频道中
Get PRO
八月 '21
+28
在0个频道中
Get PRO
七月 '21
+21
在0个频道中
Get PRO
六月 '21
+30
在0个频道中
Get PRO
五月 '21
+20
在0个频道中
Get PRO
四月 '21
+33
在0个频道中
Get PRO
三月 '21
+43
在0个频道中
Get PRO
二月 '21
+42
在0个频道中
Get PRO
一月 '21
+27
在0个频道中
Get PRO
十二月 '20
+1 610
在0个频道中
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 16 九月 | 0 | |||
| 15 九月 | 0 | |||
| 14 九月 | +1 | |||
| 13 九月 | 0 | |||
| 12 九月 | 0 | |||
| 11 九月 | 0 | |||
| 10 九月 | 0 | |||
| 09 九月 | 0 | |||
| 08 九月 | 0 | |||
| 07 九月 | 0 | |||
| 06 九月 | +1 | |||
| 05 九月 | 0 | |||
| 04 九月 | 0 | |||
| 03 九月 | +1 | |||
| 02 九月 | +2 | |||
| 01 九月 | +2 |
频道帖子
📡 MATLAB Central - File Exchange - rating:5.0 | fdasrvf
MATLAB library for elastic functional data analysisA MATLAB package for functional data analysis using the square root velocity framework which performs pair-wise and group-wise alignment as well as modeling using functional component analysisInstallationDownload zip or tar.gz of package or clone repositoryRun setup.m to setup paths and compile MEX functions NOTE: Armadillo c++ library required for bayesian code.ReferencesTucker, J. D. 2014, Functional Component Analysis and Regression using Elastic Methods. Ph.D. Thesis, Florida State University.Robinson, D. T. 2012, Function Data Analysis and Partial Shape Matching in the Square Root Velocity Framework. Ph.D. Thesis, Florida State University.Huang, W. 2014, Optimization Algorithms on Riemannian Manifolds with Applications. Ph.D. Thesis, Florida State University.Srivastava, A., Wu, W., Kurtek, S., Klassen, E. and Marron, J. S. (2011). Registration of Functional Data Using Fisher-Rao Metric. arXiv:1103.3817v2 [math.ST].Tucker, J. D., Wu, W. and Srivastava, A. (2013). Generative models for functional data using phase and amplitude separation. Computational Statistics and Data Analysis 61, 50-66.J. D. Tucker, W. Wu, and A. Srivastava, ``Phase-Amplitude Separation of Proteomics Data Using Extended Fisher-Rao Metric," Electronic Journal of Statistics, Vol 8, no. 2. pp 1724-1733, 2014.J. D. Tucker, W. Wu, and A. Srivastava, "Analysis of signals under compositional noise With applications to SONAR data," IEEE Journal of Oceanic Engineering, Vol 29, no. 2. pp 318-330, Apr 2014.Srivastava, A., Klassen, E., Joshi, S., Jermyn, I., (2011). Shape analysis of elastic curves in euclidean spaces. Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (7), 1415-1428.S. Kurtek, A. Srivastava, and W. Wu. Signal estimation under random time-warpings and nonlinear signal alignment. In Proceedings of Neural Information Processing Systems (NIPS), 2011.Wen Huang, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil. "Riemannian Optimization for Elastic Shape Analysis", Short version, The 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS 2014).Xie, W., S. Kurtek, K. Bharath, and Y. Sun (2016). "A Geometric Approach to Visualization of Variability in Functional Data." Journal of the American Statistical Association in press: 1-34.Y. Lu, R. Herbei and S. Kurtek (2017). "Bayesian Registration of Functions with a Gaussian Process Prior." Journal of Computational and Graphical Statistics: in press: 1-34Lee, S. and S. Jung, 2017: Combined analysis of amplitude and phase variations in functional data. arXiv:1603.01775 [stat.ME], 1–21.J. D. Tucker, J. R. Lewis, and A. Srivastava, “Elastic Functional Principal Component Regression,” Statistical Analysis and Data Mining, vol. 12, no. 2, pp. 101-115, 2019.J. D. Tucker, J. R. Lewis, C. King, and S. Kurtek, “A Geometric Approach for Computing Tolerance Bounds for Elastic Functional Data,” Journal of Applied Statistics, 10.1080/02664763.2019.1645818, 2019.
---------
🗣 Polyglot 自动实时翻译您群组中的消息。
| 2 | What is Spline Fitting?
#YouTube
via MATLAB@YouTube (author: MATLAB) | 26 |
| 3 | Designing ISAC Systems with Phased Arrays
#YouTube
via MATLAB@YouTube (author: MATLAB) | 41 |
| 4 | 2nd edition of Geomorphometry – Concepts, Software, Applications out now
via TopoToolbox (author: wschwanghart) | 52 |
| 5 | Coursera Course Overview: Vehicle Simulation
#YouTube
via MATLAB@YouTube (author: MATLAB) | 105 |
| 6 | 📡 MATLAB Central - File Exchange - rating:5.0 | PRIMA: Optimization without Using Derivatives
(More information is available at http://www.libprima.net ; in case of questions or requests, open an issue at the GitHub repository of PRIMA)PRIMA is a package for solving general nonlinear optimization problems without requiring derivatives. It is the successor of PDFO.PRIMA provides a MATLAB functions prima, which can automatically identify the type of your problem and then solve it by one of Powell's methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.The prima function is designed to be compatible with the fmincon function available in the Optimization Toolbox of MATLAB. You can call prima in the same way as calling fmincon:x = prima(fun, x0)x = prima(fun, x0, A, b)x = prima(fun, x0, A, b, Aeq, beq)x = prima(fun, x0, A, b, Aeq, beq, lb, ub)x = prima(fun, x0, A, b, Aeq, beq, lb, ub, nonlcon)x = prima(fun, x0, A, b, Aeq, beq, lb, ub, nonlcon, options)x = prima(problem) % PROBLEM is a structure defining the optimization problem[x, fval] = prima(___)[x, fval, exitflag, output] = prima(___)In addition, prima can be called in some flexible ways that are not supported by fmincon. If your problem can be solved by fmincon without specifying the derivatives, then it can probably be better solved by prima; if your problem cannot be solved by fmincon, then try prima.For the installation of PRIMA, see https://github.com/libprima/prima/blob/main/README_mat.md .If you need help with the setup of MEX, see https://www.mathworks.com/matlabcentral/fileexchange/127968-setup_mex .The "P" in the name stands for Powell, and "RIMA" is an acronym for "Reference Implementation with Modernization and Amelioration".PRIMA is dedicated to the late Professor M. J. D. Powell FRS (1936--2015). | 102 |
| 7 | 没有文字... | 81 |
| 8 | How to Use Python Code in Simulink
#YouTube
via MATLAB@YouTube (author: MATLAB) | 76 |
| 9 | How to Use Terminal to Bring AI Coding Agents into MATLAB and Simulink
#YouTube
via MATLAB@YouTube (author: MATLAB) | 74 |
| 10 | 📡 MATLAB Central - File Exchange - rating:5.0 | Relay Satellite Orbit Determination
TDRSOD estimates the epoch state and surface-force coefficients of a low-Earth user satellite together with one or more Tracking and Data Relay Satellite (TDRS) vehicles from four-way range measurements. The packaged demonstration processes UARS plus TDRS-4 and TDRS-5 on 1 September 1999 using White Sands stations 161 and 162.The dynamical model, coordinate transformations, and variational-equation formulation follow Montenbruck and Gill, Satellite Orbits: Models, Methods and Applications (Springer, 2005). Time, polar motion, and nutation follow IERS Conventions; planetary positions come from JPL DE440; Earth orientation and space weather files are the CelesTrak EOP-All and SW-All products.Version 3.3.0 keeps the 3.2.2 estimation architecture (batch Gauss–Newton, four-way range, eight parameters per satellite) and updates the force model, gravity gradient, and iteration control. A typical run of the packaged case reduces the four-way range residuals to a mean of 0.02 m and an RMS of 1.91 m after four iterations.References:Montenbruck O., Gill E., Satellite Orbits: Models, Methods, and Applications, Springer, Heidelberg, corrected 3rd printing, 2005.Vallado D. A., Fundamentals of Astrodynamics and Applications, 4th ed., 2013.Petit G., Luzum B. (eds.), IERS Conventions (2010), IERS Technical Note No. 36.Knocke P. C., Ries J. C., Tapley B. D., Earth Radiation Pressure Effects on Satellites, AIAA/AAS Astrodynamics Conference, Minneapolis, 1988.Picone J. M. et al., NRLMSISE-00 empirical atmosphere, J. Geophys. Res., 2002.Tapley B. et al., GGM03C/GGM03S gravity models, CSR.JPL Planetary and Lunar Ephemerides DE440, https://ssd.jpl.nasa.gov/planets/eph_export.html CelesTrak Earth orientation: https://celestrak.org/SpaceData/EOP-All.txt CelesTrak space weather: https://celestrak.org/SpaceData/SW-All.txt IERS FES2004 ocean-tide coefficients, Conventions (2010) Chapter 6. | 104 |
| 11 | 没有文字... | 102 |
| 12 | 📡 MATLAB Central - File Exchange - rating:5.0 | Customizable Natural-Order Sort
SummaryNatural order sort the text in a string/cell/categorical array. Sorts the text by character code taking into account the values of any number substrings. Compare for example:X = {'a2', 'a10', 'a1'}; sort(X) ans = 'a1' 'a10' 'a2' natsort(X) ans = 'a1' 'a2' 'a10'By default NATSORT interprets all consecutive digits as integer numbers, the number substring recognition can be specified using a regular expression, allowing the number substrings to have: a +/- sign a decimal point and decimal fraction E-notation exponentdecimal, octal, hexadecimal or binary notation Inf or NaN values criteria supported by regular expressions: lookarounds, quantifiers, etc.And of course the sorting itself can also be controlled: ascending/descending sort directioncharacter case sensitivity/insensitivityrelative order of numbers vs. charactersrelative order of numbers vs NaNsExamples%% Multiple integers (e.g. release version numbers):>> A = {'v10.6', 'v9.10', 'v9.5', 'v10.10', 'v9.10.20', 'v9.10.8'};>> sort(A) % for comparison.ans = 'v10.10' 'v10.6' 'v9.10' 'v9.10.20' 'v9.10.8' 'v9.5'>> natsort(A)ans = 'v9.5' 'v9.10' 'v9.10.8' 'v9.10.20' 'v10.6' 'v10.10'%% Integer, decimal, NaN, or Inf numbers, possibly with +/- signs:>> B = {'test+NaN', 'test11.5', 'test-1.4', 'test', 'test-Inf', 'test+0.3'};>> sort(B) % for comparison.ans = 'test' 'test+0.3' 'test+NaN' 'test-1.4' 'test-Inf' 'test11.5'>> natsort(B, '[-+]?(NaN|Inf|\d+\.?\d*)')ans = 'test' 'test-Inf' 'test-1.4' 'test+0.3' 'test11.5' 'test+NaN'%% Integer or decimal numbers, possibly with an exponent:>> C = {'0.56e007', '', '43E-2', '10000', '9.8'};>> sort(C) % for comparison.ans = '' '0.56e007' '10000' '43E-2' '9.8'>> natsort(C, '\d+\.?\d*(E[-+]?\d+)?')ans = '' '43E-2' '9.8' '10000' '0.56e007'%% Hexadecimal numbers (with '0X' prefix):>> D = {'a0X7C4z', 'a0X5z', 'a0X18z', 'a0XFz'};>> sort(D) % for comparison.ans = 'a0X18z' 'a0X5z' 'a0X7C4z' 'a0XFz'>> natsort(D, '0X[0-9A-F]+', '%i')ans = 'a0X5z' 'a0XFz' 'a0X18z' 'a0X7C4z'%% Binary numbers:>> E = {'a11111000100z', 'a101z', 'a000000000011000z', 'a1111z'};>> sort(E) % for comparison.ans = 'a000000000011000z' 'a101z' 'a11111000100z' 'a1111z'>> natsort(E, '[01]+', '%b')ans = 'a101z' 'a1111z' 'a000000000011000z' 'a11111000100z'%% Case sensitivity:>> F = {'a2', 'A20', 'A1', 'a10', 'A2', 'a1'};>> natsort(F, [], 'ignorecase') % defaultans = 'A1' 'a1' 'a2' 'A2' 'a10' 'A20'>> natsort(F, [], 'matchcase')ans = 'A1' 'A2' 'A20' 'a1' 'a2' 'a10'%% Sort order:>> G = {'2', 'a', '', '3', 'B', '1'};>> natsort(G, [], 'ascend') % defaultans = '' '1' '2' '3' 'a' 'B'>> natsort(G, [], 'descend')ans = 'B' 'a' '3' '2' '1' ''>> natsort(G, [], 'num> natsort(G, [], 'char> natsort({'a18446744073709551615z', 'a18446744073709551614z'}, [], '%lu')ans = 'a18446744073709551614z' 'a18446744073709551615z'See AlsoTo sort text into the order of arbitrary/custom text sequences (e.g. alphabets) use ARBSORT:https://www.mathworks.com/matlabcentral/fileexchange/132263-custom-list-arbitrary-sequence-sortTo sort file-names or folder-names use NATSORTFILES:http://www.mathworks.com/matlabcentral/fileexchange/47434-natural-order-filename-sortTo sort the rows of a string/cell array use NATSORTROWS:http://www.mathworks.com/matlabcentral/fileexchange/47433-natural-order-row-sortGitHub collection of all of these functions:https://github.com/DrosteEffect/NaturalSortOrder | 74 |
| 13 | 📡 MATLAB Central - File Exchange - rating:5.0 | Natural-Order Filename Sort
SummaryNatural order sort the text in a string/cell/structure array. Sorts the text by character code taking into account the values of any number substrings. Compare for example:>> A = {'a2.txt', 'a10.txt', 'a1.txt'};>> sort(A)ans = 'a1.txt' 'a10.txt' 'a2.txt'>> natsortfiles(A)ans = 'a1.txt' 'a2.txt' 'a10.txt'By default NATSORTFILES interprets all consecutive digits as integer numbers, the number substring recognition can be specified using a regular expression: see NATSORT for details.NATSORTFILES does not perform a naive natural-order sort, but sorts the filenames and file extensions separately to ensure a dictionary sort, where shorter filenames always sort before longer ones. Likewise filepaths are split at each file-separator character, and each level of the file hierarchy is sorted separately.Example with DIR()P = 'C:\SomeDir\SubDir';S = dir(fullfile(P,'*.txt'));S = natsortfiles(S);for k = 1:numel(S) F = fullfile(P,S(k).name)endFile DependencyThe natural-order sort is provided by the function NATSORT (File Exchange 34464). All of NATSORT's optional inputs are supported by NATSORTFILES.Examples>> A = {'a2.txt', 'a10.txt', 'a1.txt'}>> sort(A)ans = 'a1.txt' 'a10.txt' 'a2.txt'>> natsortfiles(A)ans = 'a1.txt' 'a2.txt' 'a10.txt'>> B = {'test2.m'; 'test10-old.m'; 'test.m'; 'test10.m'; 'test1.m'};>> sort(B) % Wrong number order:ans = 'test.m' 'test1.m' 'test10-old.m' 'test10.m' 'test2.m'>> natsortfiles(B) % Shorter names before longer:ans = 'test.m' 'test1.m' 'test2.m' 'test10.m' 'test10-old.m'%% Directory Names:>> C = {'A2-old\test.m';'A10\test.m';'A2\test.m';'A1\test.m';'A1-archive.zip'};>> sort(C) % Wrong number order, and '-' sorts before '\':ans = 'A1-archive.zip' 'A10\test.m' 'A1\test.m' 'A2-old\test.m' 'A2\test.m'>> natsortfiles(C) % Shorter names before longer:ans = 'A1\test.m' 'A1-archive.zip' 'A2\test.m' 'A2-old\test.m' 'A10\test.m'>> D = {'A1\B', 'A+/B', 'A/B1', 'A=/B', 'A\B0'};>> sort(D)ans = 'A+/B' 'A/B1' 'A1\B' 'A=/B' 'A\B0'>> natsortfiles(D)ans = 'A\B0' 'A/B1' 'A1\B' 'A+/B' 'A=/B'>> F = {'test_new.m'; 'test-old.m'; 'test.m'};>> sort(F) % Note '-' sorts before '.':ans = 'test-old.m' 'test.m' 'test_new.m'>> natsortfiles(F) % Shorter names before longer:ans = 'test.m' 'test-old.m' 'test_new.m'See AlsoTo sort text into the order of arbitrary/custom text sequences (e.g. alphabets) use ARBSORT:https://www.mathworks.com/matlabcentral/fileexchange/132263-custom-list-arbitrary-sequence-sortTo sort the elements of a string/cell array use NATSORT: http://www.mathworks.com/matlabcentral/fileexchange/34464-customizable-natural-order-sortTo sort the rows of a string/cell array use NATSORTROWS: http://www.mathworks.com/matlabcentral/fileexchange/47433-natural-order-row-sortGitHub collection of all of these functions:https://github.com/DrosteEffect/NaturalSortOrder | 56 |
| 14 | 📡 MATLAB Central - File Exchange - rating:5.0 | Natural-Order Row Sort
SummaryNatural order sort the rows of a string/cell/categorical/table array. Sorts the text by character code taking into account the values of any number substrings. Compare for example:>> X = {'x2','10';'x10','0';'x1','0';'x2','2'};>> sortrows(X) % Wrong numeric orderans = 'x1' '0' 'x10' '0' 'x2' '10' 'x2' '2'>> natsortrows(X) % Correct numeric orderans = 'x1' '0' 'x2' '2' 'x2' '10' 'x10' '0'By default NATSORTROWS interprets all consecutive digits as integer numbers, the number substring recognition can be specified using a regular expression: see NATSORT for details.File DependencyThe natural-order sort is provided by the function NATSORT (File Exchange 34464). All of NATSORT's optional inputs are supported by NATSORTROWS.Examples>> A = {'B','2','X';'A','100','X';'B','10','X';'A','2','Y';'A','20','X'};>> sortrows(A) % SORTROWS for comparison.ans = 'A' '100' 'X' 'A' '2' 'Y' 'A' '20' 'X' 'B' '10' 'X' 'B' '2' 'X'>> natsortrows(A)ans = 'A' '2' 'Y' 'A' '20' 'X' 'A' '100' 'X' 'B' '2' 'X' 'B' '10' 'X'>> natsortrows(A,[],'descend')ans = 'B' '10' 'X' 'B' '2' 'X' 'A' '100' 'X' 'A' '20' 'X' 'A' '2' 'Y'>> sortrows(A,[2,-3]) % SORTROWS for comparison.ans = 'B' '10' 'X' 'A' '100' 'X' 'A' '2' 'Y' 'B' '2' 'X' 'A' '20' 'X'>> natsortrows(A,[],[2,-3])ans = 'A' '2' 'Y' 'B' '2' 'X' 'B' '10' 'X' 'A' '20' 'X' 'A' '100' 'X'>> natsortrows(A,[],[false,true,true],{'ascend','descend'})ans = 'A' '2' 'Y' 'B' '2' 'X' 'B' '10' 'X' 'A' '20' 'X' 'A' '100' 'X'>> natsortrows(A,[],{'ignore','ascend','descend'})ans = 'A' '2' 'Y' 'B' '2' 'X' 'B' '10' 'X' 'A' '20' 'X' 'A' '100' 'X'T = cell2table(A);natsortrows(T,[], [2,-3]) % TABLEans = A1 A2 A3 ___ _____ ___ 'A' '2' 'Y' 'B' '2' 'X' 'B' '10' 'X' 'A' '20' 'X' 'A' '100' 'X'natsortrows(T,[], {'A2','A3'},{'ascend','descend'}) % TABLEans = A1 A2 A3 ___ _____ ___ 'A' '2' 'Y' 'B' '2' 'X' 'B' '10' 'X' 'A' '20' 'X' 'A' '100' 'X'>> B = {'ABCD';'3e45';'67.8';'+Inf';'-12';'+9';'NaN'};>> sortrows(B) % SORTROWS for comparison.ans = '+9' '+Inf' '-12' '3e45' '67.8' 'ABCD' 'NaN'>> natsortrows(B,'[-+]?(NaN|Inf|\d+\.?\d*(E[-+]?\d+)?)')ans = '-12' '+9' '67.8' '3e45' '+Inf' 'NaN' 'ABCD'>> C = {'A2', 2; 'A10', 1; 'A2', 1}; % Scalar numerics in a column:>> natsortrows(C,[],'sortnum')ans = 'A2' [1] 'A2' [2] 'A10' [1]>> natsortrows(C,[],'sortnum',{'ascend','descend'})ans = 'A2' [2] 'A2' [1] 'A10' [1]See AlsoTo sort text into the order of arbitrary/custom text sequences (e.g. alphabets) use ARBSORT:https://www.mathworks.com/matlabcentral/fileexchange/132263-custom-list-arbitrary-sequence-sortTo sort the elements of a string/cell array use NATSORT: http://www.mathworks.com/matlabcentral/fileexchange/34464-customizable-natural-order-sortTo sort file-names or folder-names use NATSORTFILES: http://www.mathworks.com/matlabcentral/fileexchange/47434-natural-order-filename-sortGitHub collection of all of these functions:https://github.com/DrosteEffect/NaturalSortOrder | 68 |
| 15 | What Is Signal Processing Toolbox?
#YouTube
via MATLAB@YouTube (author: MATLAB) | 72 |
| 16 | 📡 MATLAB Central - File Exchange - rating:5.0 | Systems-Level Microgrid Simulation from One-Line Diagram
Simscape Power Systems can be used to schematically represent a one-line microgrid diagram using blocks that represent different distributed energy resources (DERs). The DERs in this example include renewables, such as solar, a diesel GenSet, and an energy storage system (ESS). Using the simple microgrid, you see how desktop simulation can be used to subject the distribution system with residential load changes or unintentional islanding of the microgrid. The included slides detail other common workflows for systems-level microgrid simulation. Using Simulink Real-time, this simple microgrid can quickly be migrated to a real-time machine for hardware-in-the-loop testing. | 93 |
| 17 | 📡 MATLAB Central - File Exchange - rating:5.0 | dec2hex_ex
Matlab's dec2hex converts a vector of decimals into a charachter array - which is cumbersom to manipulatedec2hex_ex gives a solution for this...while... out = dec2hex([1 10 20]) out = 3×2 char array '01' '0A' '14' Syntax: [out,outCell] = dec2hex_ex(dec_vector,numDigits,addHexPrefix) Inputs: dec_vector: hold 1 or more decimals numDigits : optional, integer, can be given as empty braces ([]) addHexPrefix: optional, default = false, if true: adds '0x' so output could be sent to 'eval' function Outputs: out : The trivial output as char array outCell : Cell arrayoutput Examples: out = dec2hex_ex([1 10 20]) % out = '[1,A,14]' out = dec2hex_ex([1 10 20],3) % out = '[001, 00A, 014]' out = dec2hex_ex([1 10 20],[], 1) % out = '[0x1,0xA,0x14]' [out, outCell] = dec2hex_ex([1 10 20]) % outCell = {'1','A','14'} [out, outCell] = dec2hex_ex([1 10 20],[], 1) % outCell = {'0x1','0xA','0x14'} [out, outCell] = dec2hex_ex([1 10 20],4 , 1) % out = '[0x0001, 0x000A, 0x0014]' | 111 |
| 18 | 📡 MATLAB Central - File Exchange - rating:4.5 | Deep Learning Tutorial Series
The code provides hands-on examples to implement convolutional neural networks (CNNs) for object recognition. The three demos have associated instructional videos that will allow for a complete tutorial experience to understand and implement deep learning techniques. The demos include:- Training a neural network from scratch- Using a pre-trained model (transfer learning)- Using a neural network as a feature extractor The use of a GPU and Parallel Computing Toolbox™ is recommended when running the examples. Demo 3 requires Statistics and Machine Learning Toolbox™ in addition to the required products below. | 116 |
| 19 | JOSS：Macapype: An open multi-software framework for non-human primate brain anatomical MRI processing | 125 |
| 20 | Agentic AI for RF System Design
#YouTube
via MATLAB@YouTube (author: MATLAB) | 106 |
