[matlab例程] BPSK_main

说明：BPSK信号的调制和解调，包含卷积编码和解码-BPSK modulation and demodulation of signals, including encoding and decoding convolutional
<linaping> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] bpskzichengxu

说明：该文件夹中包含了BPSK调制与解调中常使用的子程序-This folder contains a BPSK modulation and demodulation often use subroutine
<linaping> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] LeasePeriod

说明：Matlab source code for interpolation 5
<Doctor X> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] Grey-Model(2)

说明：灰色模型GM(1,1)的matlab代码-Gray model
<zhaoliang> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] wanggehuafen

说明：用有限元分析的方法解微分方程，有限元计算过程中有个三角网格划分，这个程序就是关于三角形网格划分，-fem
<dingzheng> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] Ada_Boost

说明：AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] Bayesian_Model_Comparison

说明：In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.Bayesian model comparison is a method of model selection based on Bayes factors.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] feature_selection

说明：In pattern recognition and in image processing, feature extraction is a special form of dimensionality reduction.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] Genetic_Algorithm

说明：A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolution
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] Nearest_Neighbor

说明：Nearest-neighbor interpolation is a simple method of multivariate interpolation in one or more dimensions.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] PCA

说明：Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0

[matlab例程] PNN

说明：I used the newpnn function to create a PNN, then used the sim function to classify the the training data set, which was used to create the neural network.
<soroosh> 在 2025-06-23 上传 | 大小：1kb | 下载：0