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MIPI M-PHY G4 Type 1 2Tx2RX in TSMC (16nm, 12nm, N7, N6, N5, N4, N3A, N3E)
Why Is More Floating-Point Computation Required by DSP Applications?
Why is more floating-point computation required by DSP applications? More and more DSP applications use algorithms that are best realized using floating-point arithmetic. In this Whiteboard Wednesday video, the first of a two-part series, we talk about how this need for floating-point computations spans different market segments: from low-compute applications in wearables processing to high-compute applications in communications and vision processing.
Posted on Wednesday Sep. 28, 2016
Cadence Channel
Cadence PCIe 4.0 Receiver JTOL Test
1:43
Verification with Emerging Memory Models
4:12
An Introduction to Palladium Cloud
2:04
xSPI Standard Explained
3:42
The Storage Combo PHY IP - Nirvana!
2:41
What is Happening at the USB IF Standards Meetings?
4:03
Cloud-Hosted Design Solution - a Full-Service Cloud Offering
2:37
The Reason Why the Vision Q7 DSP Should be in Your Vision and AI SoC
5:47
Passport Partners Program Expands Customer Cloud Deployment Options
4:36
Cadence Cloud - Fast, Painless, Proven Solutions for Cloud-Based Design
7:08
Cadence PCIe 4.0 Receiver JTOL Test1:43
Verification with Emerging Memory Models4:12
An Introduction to Palladium Cloud2:04
xSPI Standard Explained3:42
The Storage Combo PHY IP - Nirvana!2:41
What is Happening at the USB IF Standards Meetings?4:03
Cloud-Hosted Design Solution - a Full-Service Cloud Offering2:37
The Reason Why the Vision Q7 DSP Should be in Your Vision and AI SoC5:47
Passport Partners Program Expands Customer Cloud Deployment Options4:36
Cadence Cloud - Fast, Painless, Proven Solutions for Cloud-Based Design7:08