baq

Implement the Application of BAQ Algorithm with High-speed Digital Signal Processors

采用高速DSP实现BAQ算法的应用研究

The performance of TCQ seems to be higher SNR than BAQ in compressed data .

通过对SAR原始数据的压缩试验证明，TCQ算法较BAQ算法在压缩数据的信噪比上有较大的提高。

The BAQ is adapted to the high dynamic range of SAR complex images and reduces the quantization error .

块自适应量化方法很好地适合复数图像数据动态范围大的特性，减小了量化误差。

An implementation method for block adaptive quantization ( BAQ ) algorithm using field programmable gate array ( FPGA ) is presented .

详细介绍了采用FPGA实现分块自适应量化（BAQ）算法的设计方法。

This paper baq sed on the traditional processing technology of the Dai Nationality local cuisine bamboo shoot and obtained its modern processing technology .

基于西双版纳傣族风味笋的传统加工工艺，对其工艺和技术要点进行改进，以期获得风味笋的现代加工工艺。

By examining the characteristic of complex image data , this paper presents an efficient compression method based on block adaptive quantization ( BAQ ) after removal of frequency redundancy .

通过考察复数图像数据的特性提出了在消除频率域冗余的基础上使用块自适应量化的SAR复数图像压缩算法。

In this paper , a design method of the SAR raw data real-time compression system is presented which is based on FPGA and adopts the block adaptive quantization ( BAQ ) algorithm .

因此提出一种新算法，先对SAR原始数据做距离聚焦处理，使其在方位向具有较强的相关性，再沿方位向做线性预测，并对预测差值系列做块自适应量化。

On the basis of block adaptive quantization ( BAQ ) algorithm , an improved BAQ algorithm is put forward . Its performance is better on the condition of equal computational load .

在块自适应量化（BAQ）算法的基础上，提出了一种改进的BAQ算法，在计算量相当的条件下提高了性能。

Block Adaptive Quantization ( BAQ ) is the most efficient algorithm for Synthetic Aperture Radar ( SAR ) raw data compression . In this paper , the theory on this algorithm is introduced .

分块自适应量化（BAQ）算法是目前最适于工程实现的合成孔径雷达（SAR）原始数据压缩算法。

SAR raw data compression or reduction using block adaptive quantization ( BAQ ) is studied in detail , and the nonzero mean characteristic of real SAR raw data is taken into account in BAQ processing .

研究了用块自适应量化（BAQ）算法压缩合成孔径雷达（SAR）原始数据，考虑了实际SAR数据的非零均值。

Finally , the AP ( Amplitude & Phase ) algorithm is compared with the BAQ algorithm . The performance of the AP algorithm is proved to be fine , especially in terms of the reservation of phase information .

并将该算法与BAQ算法相比较，验证了AP算法能够很好地保留原始数据的相位信息的特点。

The performance evaluation in signal domain of this BAQ algorithm based on signal to quantization noise ratio ( SQNR ) and RMS phase error is presented and the processed SAR image after encoding / decoding with this BAQ algorithm is given .

文中给出了算法在信号域内的信号对量化噪声比（RSQN）和均方根相位误差这两个性能指标的评估结果；并给出了SAR原始数据经BAQ处理后的成像结果；

And then , based on the SAR raw data characteristic , TCQ is applied to the data after BAQ . This method utilizes convolutional encoding and signal space expanding to increase Euclidian distance between signals , and the gain of quantization is further improved .

该方法在考虑了SAR原始数据特性的基础上利用卷集编码和信号空间扩展来增大量化信号间的欧氏距离，进一步提高了量化增益，取得了较好的量化和抗误码性能。

The discrete cosine transform-optimal entropy-constrained block adaptive quantization ( DCT-OECBAQ ) algorithm is investigated . The optimal entropy-constrained algorithm is able to design the scalar codebook with an arbitrary bit rate . Its performance is better than that of the improved BAQ algorithm .

研究了离散余弦变换-最佳熵约束块自适应量化（DCT-OECBAQ）算法，最佳熵约束算法能设计任意码率的标量码本，该算法性能优于改进BAQ算法。