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Elliptical_Filter
- IIR Filter Coefficient Quantization Example ％ written by DRB on 6-Dec-2004 for ECE3703 ％ ％ Looks at unquantized filter (ideal), direct form, and cascaded second ％ order section (SOS). -IIR Filter Coefficient Quantization Exam ple% written b
DSP_A
- 英文最新版数字图像处理基础，包括信号与系统，信号表达与量化，快速算法与结构，数字滤波，统计信号处理，自适应滤波，信号重建，时频和多率信号处理。-Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals
DCT8x8
- 归一化值为8x8图像的DCT算法，同时包括量化，编码及压缩率计算的程序-Normalized value of 8x8 image DCT algorithm, while including quantization, coding and compression rate of the procedure
fir-example-8bit
- Filter type: Low Pass Filter model: Butterworth Filter order: 2 Sampling Frequency: 1000 Hz Cut Frequency: 100.000000 Hz Coefficents Quantization: 8-bit
irr-lowpass-butterworth-16bit
- Filter type: Low Pass Filter model: Butterworth Filter order: 2 Sampling Frequency: 1000 Hz Cut Frequency: 100.000000 Hz Coefficents Quantization: 16-bit
LVQ
- 实现LVQ（Learning Vector Quantization）算法的VB源码，适合多目标对象的函数模型建立，附测试数据和调用方法实例。按不同使用需求，需要用户适当优化调整，此方法对具备或理解LVQ原理+vb编程的用户最佳。如果你觉得好，谢谢支持！ -LVQ (Learning Vector Quantization) algorithm VB source, multi-target object function modeling, attached test data and c
FCMClust
- 模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
Learning-Vector-Quantization
- Learning Vector Quantization
Intelligent-Image-Color-Reduction-and-Quantizatio
- In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M