tuxiangchuli

L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3_2.bmp: 影像檔 lena.mat: Matlab的矩陣變數檔 (L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file)

Auto regressive image interpolation

equalization in communication

Generates the values in a Cumulative Match Characteristic (CMC) curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)

从互联网上搜索并下载至少3个英文原版TXT格式小说，设计程序统计每个小说中26个英文出现的次数，所占百分比。 根据程序输出结果分析莫尔斯码对各英文字母设计的编码的合理性。(Search and download from the Internet at least 3 TXT format, original English novel, the novel design process statistics for each of 26 English and the number of occurrences percentage. According to the procedure output of Morse code letters on the design of the code is reasonable.)

pca_new程序是一个用于降维的程序。用于降低数据的维数，更好精简冗余信息。(pca_new.m is used for data dimention reduction.)

说明：  一个非常简单的日历程序，可以作为插件使用(a simple calendar code)

本代码主要仿真了VO和JZ超过AWGN信道的内存1率1/2卷积码的性能边界。 (VO and JZ bounds on performance of a memory-1 rate-1/2 convolutional code over an AWGN channel)

利用matlab实现相干信号的music算法，DOA估计相干信号的music算法(Using matlab to achieve a coherent signal of the music algorithm, DOA estimation of coherent signals of the music algorithm)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)