Abstract: The invention discloses a method and a system for optimizing address generation for simultaneously running proximity-based Built-In-Self-Test (BIST) algorithms. The method also describes simultaneously testing proximity-based faults for different memories having column multiplexers of different sizes using the BIST algorithms. The system described above may be embodied in the form of a Built-In-Self-Test (BIST) controller. Further, the method includes selecting a memory having the largest size of column multiplexer (CMmax). After selecting the memory, size of an address-width register is extended to form an extended address-width register. Thereafter, an extended width address is generated using the extended address-width register and the extended width address is used to generate addresses for the memories. After generating the addresses, read and write operations are performed on the memories based on pre-defined rules, wherein the read and write operations provide testing of the memories.

Abstract: A method and a system for testing memory blocks using a built-in-self-test (BIST) block using a regeneration mechanism. The method includes generation of a test pattern by executing a pre-defined algorithm to test a memory address of a memory block. The test pattern is stored at the memory address, and then the stored data is read from the memory address. The read data is send to a comparator for comparison with a background data. The background data corresponds to the test pattern and is regenerated by a regeneration block corresponding to clock cycles taken for storing the test pattern in the memory address. The stored data is read from the memory address. The comparator generates a validity signal based on the comparison of the background data with the read data.

Abstract: A method and system for detecting and quantifying blockiness in a video file is disclosed. The video file is a file that has been decompressed by using standard DCT algorithms. The method includes segmenting each frame of the video file into multiple blocks. The method also involves comparing the intensity gradients of each block with one or more threshold values. The one or more threshold values represent predefined intensity variation characteristics. Further, the method includes determining the intensity variation parameters of each block, based on the comparison. Thereafter, a blockiness index is calculated for each block, after which a blockiness value is calculated for each frame. Finally, a blockiness level is assigned to each frame, based on its blockiness value. The blockiness level is a comparative measure of the blockiness of a frame that represents the blockiness content in the frame.

Abstract: The invention discloses a method and a system for optimizing address generation for simultaneously running proximity-based Built-In-Self-Test (BIST) algorithms. The method also describes simultaneously testing proximity-based faults for different memories having column multiplexers of different sizes using the BIST algorithms. The system described above may be embodied in the form of a Built-In-Self-Test (BIST) controller. Further, the method includes selecting a memory having the largest size of column multiplexer (CMmax). After selecting the memory, size of an address-width register is extended to form an extended address-width register. Thereafter, an extended width address is generated using the extended address-width register and the extended width address is used to generate addresses for the memories. After generating the addresses, read and write operations are performed on the memories based on pre-defined rules, wherein the read and write operations provide testing of the memories.

Abstract: A method and system for detecting and quantifying blockiness in a video file is disclosed. The video file is a file that has been decompressed by using standard DCT algorithms. The method includes segmenting each frame of the video file into multiple blocks. The method also involves comparing the intensity gradients of each block with one or more threshold values. The one or more threshold values represent predefined intensity variation characteristics. Further, the method includes determining the intensity variation parameters of each block, based on the comparison. Thereafter, a blockiness index is calculated for each block, after which a blockiness value is calculated for each frame. Finally, a blockiness level is assigned to each frame, based on its blockiness value. The blockiness level is a comparative measure of the blockiness of a frame that represents the blockiness content in the frame.