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| Case Study: Cool Algorithm, But Will It Fit in My Product? |
By Jennifer White & Jeff Bier, 2/14/2007
Algorithms are the essence of digital signal processing; they are the mathematical “recipes” that transform signals in useful ways. Companies developing new DSP algorithms, or considering purchasing or licensing algorithms, often need to assess whether the algorithm will fit within their processing budget—and thereby within their cost and power consumption targets.
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| Case Study: Creating High-Impact Product Launches |
By Jennifer White & Jeff Bier, 12/13/2006
Creating high-impact product launches requires creating equally high-impact briefing presentations. A stand-out presentation provides a compelling picture of the product’s value proposition; it provides credible evidence for its claims; and it delivers its messages crisply.
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| Case Study: Getting Good Feedback to Improve Products |
By Jennifer White & Jeff Bier, 11/15/2006
It can often be difficult for technology providers to obtain the detailed, thoughtful feedback they need to improve their products. BDTI examines a technical evaluation of DSP software development tools.
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| Multi-Tiered Software Optimization |
By Jennifer White & Jeff Bier, 9/27/2006
While nearly all signal processing applications require some degree of software optimization, some applications require a sophisticated, multi-tiered optimization approach in order to meet their performance goals. Unfortunately, many signal processing software developers are experienced with only a subset of the many levels of optimizations.
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| Case Study: Algorithm IP Companies Focus on the Algorithm |
By Jennifer White & Jeff Bier, 7/19/2006
Companies that focus on DSP algorithm development are often at the cutting edge, delivering the ideas that drive new technologies. Unfortunately, it takes more than a great algorithm to be successful; an algorithm is only as good as its implementation. In this case study, BDTI examines software optimization techniques utilized for implementation of a video compression algorithm.
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| Case Study: Obtaining the Best Benchmark Results with the Least Engineering Effort |
By Jennifer White & Jeff Bier, 6/27/2006
Typically, processor vendors use their in-house engineering resources to optimize benchmark implementations. This can yield good benchmark results, particularly when the benchmarks are implemented by engineers with intimate knowledge of a processors architecture and sufficient time to do a thorough job. In some cases, though, the processor vendor may prefer to outsource benchmark implementation work. In such situations, vendors often turn to BDTI for benchmark implementation services.
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| Custom Benchmarks |
By Jennifer White & Jeff Bier, 5/24/2006
BDTI recently used its expertise to help a major manufacturer of cellular phones analyze competing DSP cores under consideration for baseband processing in its next generation phones. BDTI’s custom benchmarking services enable system and system-on-chip developers to quickly make confident processor choices and architectural decisions, while reducing the benchmarking workload on their in-house engineering resources.
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| Reducing Product-Development Risk |
By Jennifer White & Jeff Bier, 4/25/2006
To stay competitive, technology companies must consistently develop strong new products. This is particularly true for companies offering processors, tools, or systems that incorporate signal processing technology. Unfortunately, developing a major new product is risky.
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| Managing Offshore Software Development |
By Jennifer White & Jeff Bier, 3/20/2006
Increasingly, processor vendors need to deliver extensive software libraries optimized for their processors. To meet these software needs, many processor vendors are attracted to offshore software development firms due to their low cost. But this solution is not without its challenges.
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