资源列表
kNNClassification
- 人工智能kNN分类机器学习算法，包括文件读取和处理，还是有借鉴价值的-AI kNN classification machine learning algorithms, including file reading and processing, very good
kNNregression
- 机器学习kNN回归算法，是一个挺不错的机器学习算法值得借鉴-KNN regression machine learning algorithm, is a very good machine learning algorithm is worth learning
plot_hht1
- 希尔伯特黄变换，有心脑电数据，还有语音信号数据以及处理数据的程序-Hilbert Huang Transform program, determined to EEG data as well as voice and data signal processing data
matlabdata
- 数据资源：心脑电数据，汶川地震数据，振动信号数据，语音信号数据，可以用于matlab信号处理测试-Data Resource: Heart EEG data, earthquake data, vibration signal data, voice signal data can be used matlab signal processing test
feixianxing
- 此程序是关于非线性系统的建模、辨识、预测，程序中包含了系统的模型等-Nonlinear system modeling, identification, prediction
(Computer-Graphics)-Fundamentals-Of-Image-Process
- fundamentals of image processing
AISjulei
- AIS聚类，对AIS信息进行分类，在一定数量的基础数据下可以进行聚类-AIS Cluster
MergeSort.cpp
- 对一段取值范围为1-50的序列进行归并排序。-To a value range is 1-50 sequences of merge sort.
zhan-deyingyong
- 一、实验目的 1.掌握栈的存储、基本运算； 2.掌握利用栈实现十进制数转换成八进制数的运算。 二、实验内容 1.栈的存储、基本运算； 2.利用栈实现十进制数转换成八进制数的运算。-A, experimental purposes 1. Master the stack storage, basic operation 2. Master the stack to achieve a decimal number converted to octal number o
aliasing_distortion
- Read a grayscale image, downsample it by a factor of 4, and reconstruct the full size image the downsampled image. Then, prefilter the original image with a lowpass filter and repeat downsampling and reconstruction as before. -Read a grayscale im
video_lossy_compression
- Generates a differential frame by subtracting two temporally adjacent intensity image frames. Quantizes the differential frame and reconstructs the original frame by adding quantized differential frame to the other frame.
effect_of_-quantizing_the_-2D-DWT_coefficients.ra
- An example to show the effect of quantizing the 2D DWT coefficients of an intensity image along with intensity profile along a specified row.-An example to show the effect of quantizing the 2D DWT coefficients of an intensity image along with intens