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[Wavelet] IMG_wave_horz DL : 0: TI C64X下水平小波变化的手工汇编源代码-TI C64X lower level wavelet changes to the manual compilation of source code
Date : 2025-12-25 Size : 4kb User : 吴晓岭
[Wavelet] wave_vert DL : 0: TI C64X下垂直小波变换的手工汇编源代码-TI C64X perpendicular wavelet transform manual compilation of source code
Date : 2025-12-25 Size : 8kb User : 吴晓岭
[Wavelet] WaveletDSP DL : 0: 小波变换具有良好的时—频局部性，是分析奇异信号的重要方法定点DSP在工程中的厘用士分背通，具实现小波变换可以满足工程是实时性的要求文中简要介绍了小波变换理论及算法，并结合TI公司的16位定点说明算法的实现。 -Wavelet transform has a good time- frequency localization, is to analyze the singular signal an important means of fixed-point DSP in engineering per cent pass with disabilities at the back with the realization of wavelet transform to meet the project is a real-time requirements of the article a brief introduction of wavelet transform theory and algorithm, combined with TI
Date : 2025-12-25 Size : 155kb User : 韩大约
[Wavelet] DSP_JPEG2000_001.pdf DL : 0: 本文介绍了JPEG2000的静态图像压缩技术在TI TMS320DM642 DSP上的实现过程；对压缩技术核心小波算法结构进行改进，对硬件特点的程序结构、具体代码及总线读写等方面的改进作了详细描述．改进后的软件系统，对于1 024×768像素大小的图像、数据存储空间仅需6 KB，使得在资源有限的DSP芯片上能够运行JPEG2000图像压缩技术；编码速度相对于未改进的提高了l2～ 2O倍，可迭到3帧／s；压缩比为O．5 bit／p时，峰值信噪比可达到3O．-This paper introduces the JPEG2000 still image compression technology in the TI TMS320DM642 DSP Implementation process on wavelet compression technology is the core algorithm to improve the structure of the hardware features of the process structure, read and write the specific code and bus improvements, such as was described in detail . The improved software system, for 1 024 × 768 pixel image size, data storage space only 6 KB, allows limited resources to run the DSP chip JPEG2000 image compression technology encoding speed is not improved relative to the improvement of the l2 ~ 2O-fold, again and again to be 3/s compression ratio for O. 5 bit/p, the peak signal to noise ratio can be achieved 3O.
Date : 2025-12-25 Size : 238kb User : H Simon
[Wavelet] CurvatureEstimation DL : 0: This function calculates the curvature of a 2D line. Reference￡oS. Hermann and R. Klette. Multigrid analysis of curvature estimators. Proc. Image Vision Computing New Zealand, 108¨C112, 2003. by Jianfei Pang k = CurvatureEstimation(list,b,f) inputs, list : A M x 2 list of line points. fn: The number of forward points that were chosen to calcute. bn: The number of backward points that were chosen to calcute. outputs, Ei : M x 1 Curvature values thetai:M x 1 angle values Example [Ei,ti]=CurvatureEstimation(test,4,4) - This function calculates the curvature of a 2D line. Reference￡oS. Hermann and R. Klette. Multigrid analysis of curvature estimators. Proc. Image Vision Computing New Zealand, 108¨C112, 2003. by Jianfei Pang k = CurvatureEstimation(list,b,f) inputs, list : A M x 2 list of line points. fn: The number of forward points that were chosen to calcute. bn: The number of backward points that were chosen to calcute. outputs, Ei : M x 1 Curvature values thetai:M x 1 angle values Example [Ei,ti]=CurvatureEstimation(test,4,4)
Date : 2025-12-25 Size : 2kb User : Daniela