摘要:
A digital sum variation (DSV) computation method and system is proposed, which is capable of determining the DSV value of a bit stream of channel-bit symbols to thereby find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols. This DSV computation method and system is characterized in the use of a Zero Digital Sum Variation (ZDSV) principle to determine the DSV. This DSV computation method and system can find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols in a more cost-effective manner with the need for a reduced amount of memory and utilizes a lookup table requiring a reduced amount of memory space for storage so that memory space can be reduced as compared to the prior art. This DSV computation method and system is therefore more advantageous to use than the prior art.
摘要:
In a recordable disk recording controller circuit, a data buffer manager receives a command and sends the command to a micro-controller. The micro-controller generates a set of register batches from each command and sends the register data and index of the register batch to a batch register controller. The batch register controller receives the register data and index of the register batch from the micro-controller and stores the received register data and index of the register batch in a batch buffer. The batch register controller retrieves the register batches from the batch buffer and writes the master registers of an encoder controller based on the register index and register data of the register batches after the master registers of the encoder controller are updated into the slave registers of the encoder controller. The encoder controller generates control signals to a recording circuit depending on updated slave registers. Such control signals cause the recording circuit to record a signal representative of signal data on a recordable disk located in a recordable disk driver.
摘要:
A digital sum variation (DSV) computation method and system is proposed, which is capable of determining the DSV value of a bit stream of channel-bit symbols to thereby find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols. This DSV computation method and system is characterized in the use of a Zero Digital Sum Variation (ZDSV) principle to determine the DSV. This DSV computation method and system can find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols in a more cost-effective manner with the need for a reduced amount of memory and utilizes a lookup table requiring a reduced amount of memory space for storage so that memory space can be reduced as compared to the prior art. This DSV computation method and system is therefore more advantageous to use than the prior art.
摘要:
An adaptive-selection method for memory access priority control in MPEG processor. The processor has functional modules that include an input interface, a CPU, an audio decoder, a video decoder, an audio processor, a video processor and a memory controller. Each of the modules gains control over the data bus via arbitration by the memory controller for accessing the memory. The access priority of the CPU to the data bus is maintained at a relatively lower level except when the CPU needs to perform parsing on the MPEG compressed data and implementing the initial decoding of the audio compressed data. The use of data bus bandwidth is therefore balanced among all the system resources thereby increasing the overall system performance.
摘要:
A digital sum variation (DSV) computation method and system is proposed, which is capable of determining the DSV value of a bit stream of channel-bit symbols to thereby find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols. This DSV computation method and system is characterized in the use of a Zero Digital Sum Variation (ZDSV) principle to determine the DSV. This DSV computation method and system can find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols in a more cost-effective manner with the need for a reduced amount of memory and utilizes a lookup table requiring a reduced amount of memory space for storage so that memory space can be reduced as compared to the prior art. This DSV computation method and system is therefore more advantageous to use than the prior art.
摘要:
A digital sum variation (DSV) computation method and system is proposed, which is capable of determining the DSV value of a bit stream of channel-bit symbols to thereby find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols. This DSV computation method and system is characterized in the use of a Zero Digital Sum Variation (ZDSV) principle to determine the DSV. This DSV computation method and system can find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols in a more cost-effective manner with the need for a reduced amount of memory and utilizes a lookup table requiring a reduced amount of memory space for storage so that memory space can be reduced as compared to the prior art. This DSV computation method and system is therefore more advantageous to use than the prior art.
摘要:
A digital sum variation (DSV) computation method and system is proposed, which is capable of determining the DSV value of a bit stream of channel-bit symbols to thereby find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols. This DSV computation method and system is characterized in the use of a Zero Digital Sum Variation (ZDSV) principle to determine the DSV. This DSV computation method and system can find the optimal merge-bit symbol for insertion between each succeeding pair of the channel-bit symbols in a more cost-effective manner with the need for a reduced amount of memory and utilizes a lookup table requiring a reduced amount of memory space for storage so that memory space can be reduced as compared to the prior art. This DSV computation method and system is therefore more advantageous to use than the prior art.
摘要:
A method for positioning edges of a photograph, includes flowing steps. A photograph taken by a camera module of an electronic device is obtained. RGB values of the pixels of the photograph are processed to get corresponding RGB modification values of the pixels of the photograph. Positions of vertexes of the photograph are computed according to the RGB modification values. The vertexes are connected to form edges of the photograph.
摘要:
A method for testing a wireless connection of an electronic device includes the following steps. The electronic device is initialized to a stand-by state. A testing server connects the electronic device to form a wireless connection based on a wireless protocol. The testing server outputs a plurality of first data packages to the electronic device and receives a plurality of second data packages from the electronic device to test a rate of data throughput via the wireless connection by the testing server. A wake-up signal is sent to the electronic device via the wireless connection to the electronic device.
摘要:
A method for decoding multiword information comprises steps (a) to (e). In step (a), a multiword information cluster, e.g., ECC, including high protective codewords, e.g., BIS, and low protective codewords, e.g., LDC, is provided. In step (b), the high and low protective codewords are stored into a first memory, e.g., DRAM. In step (c), the high protective codewords are decoded to generate high protective word erasure indicators showing whether decoding errors occur. In step (d), the high protective word erasure indicators are stored into a second memory, e.g., SRAM. In step (e), the low protective codewords are decoded. In the meanwhile, an erasure bit for a low protective codeword is marked by finding high protective codewords close to the low protective codeword in the multiword information cluster and looking up the high protective word erasure indicators of the high protective codewords close to the low protective codeword.