自适应滤波器的最陡下降法示意图-fig811

Matlab, picture, example of color mix

cognitive radio performance matlab code for spectrum sensingg

说明：  matlab数字滤波器设计,计算出参数便于dsp实现bandpa(Matlab digital filter design parameters calculated to achieve bandpass ease dsp)

包括了无线通信中频繁使用的一些基本的信源编码方式,如QPSK,MASK等.(including wireless communications frequent use of some of the basic source coding methods, such as QPSK, such as MASK.)

功能列表= mmwrite（文件名，选择... ...） mmwrite是能写的AVI，WMV，的WMA，ASF文件。对于AVI文件，您可以选择从现有的编解码器压缩的音频和视频流。 对于WMV，WMA和ASF的编码默认为16位的Windows Media 9率为44100Hz立体声为98％质量的音频和Windows媒体视频9 98 质量。质量可以指定音频和视频。 环绕声，似乎只与AVI和多通道编码不支持。编写任何其他文件类型不支持。本使用Windows的DirectX基础设施，以便其他操作系统是出于运气。 输入：     文件名：这一定是第一个参数，并指定文件名写。     影片结构：视频结构相匹配的mmread输出。在最低限度，必须有4个领域的“框架”，“时代”，“高度”和“宽度”。该“框架”字段必须是一个结构与一个字段数组“的CDATA”的原始框架，它包含由彩色编码的数据宽度高度（3）UINT8s。钍(function list = mmwrite(filename,...options...) mmwrite is able to write AVI,WMV,WMA,ASF files. For AVI files you can choose from the available codecs to compress the audio and video streams. For WMV,WMA and ASF the encoding defaults to Windows Media 9 44100Hz 16bit stereo 98 quality for the audio and Windows Media 9 Video with 98 quality. The quality can be specified for both audio and video. Surround sound only seems to work with AVI and multi-pass encoding is not supported. Writing any other file type is not supported. This uses Windows DirectX infrastructure, so other OSs are out of luck. INPUT: filename: This must be the first parameter and specifies the filename to write. video structure: The video structure matches the output of mmread. At a minimum it must have 4 fields "frames", "times", "height" and "width". The "frames" field must be a struct array with a field "cdata" that contains the raw frame data encoded as height by width by color(3) as UINT8s. Th)

这个是用matlab的编写的能定时摄像头照相或监控功能。(This is to regularly camera, camera or monitor function using matlab written.)

空域DLMS算法的simulink结构；3抽头空域DLMS算法( )

VArious basic programme according to the book Basics of Matlab (Zakova)

演示代码为“独立分量分析:教程介绍”版权:2005年,企业石、心理学系、谢菲尔德大学,谢菲尔德,英格兰。(Demonstration code for "Independent component analysis: A Tutorial Introduction")

卡尔曼滤波器 matlab仿真实验代码 GPS数据后处理(kalman filter)