SeqLnok.matlab

matlab中的彩色图转换成灰度图后的最新集中算法的运用的边缘检测(The color chart matlab edge detection)

频率域低通滤波进行图像去噪，巴特沃斯低通滤波器(Frequency domain low-pass filter for image denoising, Butterworth low-pass filter)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

浅海水下地形SAR 探测，这方面还是一个新的方向，搞的人不多，希望您会考虑(Terrain navigation for underwater vehicles using the correlator method 2004.pdf)

adaptive mimo for wimax

This paper is concerned with the denition of t- norms on the algebra of truth values of type-2 fuzzy sets. Our proposed denition extends the denition of ordinary t-norms on the unit interval and extends our denition of t-norms on the algebra of truth values for interval-valued fuzzy sets.

Feeding antennas with proper signals can be difficult. The signal is often described as a voltage, and voltages are not well defined in electromagnetic wave formulations. There are several tricks to model voltage generators in such situations, and one is the magnetic frill. This model shows the basic steps of defining a magnetic frill voltage generator for a dipole antenna, and it also compares the resulting antenna impedance with known results.

图像进行小波分解后，对于相对来说不重要的高频成份采用较高的阈值，进行高压缩；而对集中图像大部分能量的低频成分采用较小阈值，以确保图像恢复时的质量(Image Compression)

CDMA中多用户相关的一些仿真研究，有相关文档及MATLAB程序可供学习(CDMA Multi-user related to a number of simulation studies, with relevant documentation, and MATLAB programs for learning)

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain.(This paper deals with the problem of speech enhancement when only a corrupted speech signa l is available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) model and represented in the s tate-space domain.)